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Robert
Wasson’s background consists of formal training
in geomorphology and geology, and self-training in natural resource management,
environmental history, and integrative studies. From 1973 to 1983 he undertook
doctoral and post-doctoral studies at Macquarie University, the University
of Auckland, Monash University, the Australian National University, and
the Physical Research Laboratory (India) where he focussed on past climates
and landscapes of the Australian and Indian deserts. From 1983 to 1996
he conducted studies at CSIRO of river catchment processes, rates of change,
and management options – here he become Assistant Chief Division
of Water Resources. From 1996 to 2004 he was Head of the Department of
Geography, Dean of Science, then Director of the Centre for Resource and
Environmental Studies (CRES) at ANU. Here his research focussed on catchments
(including climate change aspects), people-nature relationships, and cross-disciplinary
methods – in Australia, India and East Timor. Professor Wasson is
active on several high level committees and advisory groups, both nationally
and internationally, and has been responsible for some major international
collaborative research efforts. In early 2004 Professor Wasson took on
the role of Vice-Chancellor (Research) at the Charles Darwin University
in the Northern Territory.
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2004 FENNER CONFERENCE ON THE ENVIRONMENT
Understanding the populationenvironment debate: Bridging disciplinary divides
The Shine Dome, Canberra, 24-25 May 2004
Environmental
science's increasing sophistication or polarised posturing in blissful
ignorance
by Robert Wasson
Session 2: Questions/discussion
I was given the remit of talking about environmental science. What I
am going to do is to try to sketch some of the generic issues rather than
try to go into any detail. But it has always struck me that this debate
about environment and population is described by my subtitle, 'Polarised
posturing in blissful ignorance', because an awful lot of polarisation
that goes on is really posturing. In fact, the environmental sciences
fall into that category.
A lot of what we see around us from environmental scientists is a linear
view of the world that there is a linear relationship between population
and impact on the environment. Yet some of the most insightful commentaries,
criticisms and analyses of that relationship have actually been by environmental
scientists who do not take the linear view of population and impact.
So, already and immediately, the polarised posturing which takes the
view that environmental science is some sort of unreconstructed bunch
of individuals who take a very, very simplistic view of the relationship
is simply not the case demonstrably not the case.

(Click on image for a larger version)
One of the key analytical tools that has been used by environmental science,
and by ecologists in particular, is the notion of carrying capacity. I
decided to do a quick Web search the other day, just to see if it was
still there, and it is everywhere. There are networks galore. The Carrying
Capacity Network, for example, as recently as this year, set out the carrying
capacity notion in the slide which is, by the way, a somewhat different
definition from most that ecologists use, but that is not an issue that
I have time to get into now.
These networks are there. These people very much are using this sort
of notion, the carrying capacity notion, which in its simplest form is
really far too simple for the debate.
Notice that in the middle of that definition it says, 'The carrying capacity
for any given area is not fixed. It can be altered by improved technology,
but mostly it is changed for the worse by pressures which accompany a
population increase.' In ecology, and at least in the earlier views of
carrying capacity, the notion was very strongly one of intra-specific
competition and, in a slightly more sophisticated form, resource-limited
population, which is modelled as a logistic curve.
You can see immediately that, while the 'carrying capacity' words are
there, it has actually been transmuted into something which is much more
human, where technology is seen to be very largely a human affair
with the possible exception of chimpanzees and a few other species
and in fact things can be changed by humanity so the carrying capacity
notion is not fixed. But the bottom line of this and many other groups
is that, as population increases, carrying capacity decreases, after a
particular threshold.
In Australia, it is fair to say, if we look at this kind of carrying
capacity notion, that much of the environmental damage of the rural landscape
was actually done very soon after European settlement leaving aside
the vexatious question of the relationship between Indigenous people and
the non-human world in southern Australia, at least, and really
quite large-scale damage, which I do not have time to document now but
most people in this room are familiar with it. It was a time when population
was very low. Examples include clearing and biodiversity loss, soil erosion,
the preconditions for dryland salinisation if not the salinisation itself,
soil organic matter loss and structural change and there are others.
All of those things happened within 50 years or so, to a large degree,
and, to repeat, by a population in this case substantially European in
origin and the population density was very low indeed.
More recently with high population there has been an increase in pollution,
of waters in particular, and greenhouse gas emissions. The next speaker
will talk about issues of that kind in much more detail than I can. So,
as population has gone up, certainly there has been a rise in many of
these issues.
The conclusion from these brief observations is that the population-carrying
capacity relationship is dynamic, and counter to the simple equation that
population numbers equals environmental damage, or population increase
goes to environmental damage and carrying capacity decline. The historical
record of Australia suggests otherwise.
Now, as I have already said, environmental science began with a simple
view of carrying capacity that equated raw numbers of people with environmental
damage. But this is an ahistorical view, as I have just tried to demonstrate.
And some of you have heard me bang on about this before, that in fact
history is an extraordinarily important component of our analysis of these
relationships. If we simply look at the relationship now taking,
say, 10 years of data we actually miss most of the dynamics.
The historical component is crucially important to our understanding of
these relationships. Environmental history, therefore, is something which
to me should be centre stage to a lot of these analyses.
Yet it still happens: we see short-term views that are really deeply
flawed. Considerable variation in the world's sustainable population,
depending upon the assumptions that you make, and the starting population
level at the time of the study actually are really quite interesting problems.
If you try to estimate what the world's sustainable population could be,
you get a very wide range of numbers, depending upon the assumptions and
where you start the analysis.
Yet they have one thing in common: they are all below those of the medium
estimates of population size in 2050, when it is believed the global population
will stabilise. But this literature, interestingly, identifies two different
sets of constraints. One is food, land and energy, and the other is fresh
water, forest products and fertiliser. And there is almost no overlap
between the two sets, which is very interesting. As a problem in analysis,
there is a meta-problem of why it is that two really quite diverse, different
groups of people have come up with two different sets of constraints.
A calculation that I heard recently portrayed was that if fossil fuels
and fertiliser were removed from Australian agriculture, we could only
support about 9 million people. The reason for picking out fossil
fuels and fertiliser is that both of them are thoroughly unsustainable
inputs to the Australian agricultural system. So if you remove the two
substantially non-sustainable elements of our agriculture, then we can't
do all that well on our own; this assumes we are not importing
anything.
But this is an example of environmental science ignoring technological
innovation, values and lifestyle choices. I have just moved to Darwin,
and I can tell you that the outreaches of the area around Darwin, despite
all the agricultural experiments to the contrary, could support millions
of people but they would be peasants. But if you go to southern
India, where the soils are very similar and the climate is very similar,
it is entirely possible. It is a choice to do with lifestyles and wellbeing.
Also, environmental scientists have adopted a more sophisticated approach
as time has gone by, but I would argue that in fact from early on in environmental
science there was a lot of sophisticated analysis going on. For example,
Barry Commoner, a biologist, gave us the equation that environmental impact
equals population times consumption per person times impact per unit of
consumption. We have the Ehrlich and Holden equation, environmental impact
equals population times affluence times technology. These are not linear
relationships of the kind that are used to characterise and caricature
environmental science.
These equations and similar ones hold in the developed world. I would
argue that now, as has been argued recently by Hollander, in the developing
world poverty needs to be added to these equations. A book that has recently
been published, and that I have only read about a third of, actually argues
that poverty is the greatest threat to the world's non-human environment,
not affluence, for the simple reason that poor people have no choices,
affluent people do.
In conclusion, I would argue that environmental science has indeed had
a history of simple linear relationships of the kind I have described,
but in parallel there have been some sophisticated analyses done. Moving
those environmental scientists who still think in this linear fashion
into a more sophisticated realm requires them to understand societies
and economies very much more than they do at the moment. And that is a
major challenge.
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